Deep Belief Nets in C++ and CUDA C: Volume 1
Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers with CUDA-capable video display cards.
The first of three in a series on C++ and CUDA C deep learning and belief nets, Deep Belief Nets in C++ and CUDA C: Volume 1 shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a thought process that is capable of learning abstract concepts built from simpler primitives. As such, you'll see that a typical deep belief net can learn to recognize complex patterns by optimizing millions of parameters, yet this model can still be resistant to overfitting.
All the routines and algorithms presented in the book are available in the c ...
Neural Networks for Electronics Hobbyists
Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network.
There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network.
By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you.
Gain a practical introduction to neural networks; Re ...
Network Programmability and Automation
Like sysadmins before them, network engineers are finding that they cannot do their work manually anymore. As the field faces new protocols, technologies, delivery models, and a pressing need for businesses to be more agile and flexible, network automation is becoming essential. This practical guide shows network engineers how to use a range of technologies and tools - including Linux, Python, JSON, and XML - to automate their systems through code.
Network programming and automation will help you simplify tasks involved in configuring, managing, and operating network equipment, topologies, services, and connectivity. Through the course of the book, you'll learn the basic skills and tools you need to make this critical transition.
Python programming basics: data types, conditionals, loops, functions, classes, and modules; Linux fundamentals to provide the foundation you need on your network automation journey; Data formats and models: JSON, XM ...
Complex Network Analysis in Python
Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience.
Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive—such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, ...
Investigating the Cyber Breach
Today, cybersecurity and networking professionals know they can't possibly prevent every breach, but they can substantially reduce risk by quickly identifying and blocking breaches as they occur. Investigating the Cyber Breach: The Digital Forensics Guide for the Network Engineer is the first comprehensive guide to doing just that.
Writing for working professionals, senior cybersecurity experts Joseph Muniz and Aamir Lakhani present up-to-the-minute techniques for hunting attackers, following their movements within networks, halting exfiltration of data and intellectual property, and collecting evidence for investigation and prosecution. You'll learn how to make the most of today's best open source and Cisco tools for cloning, data analytics, network and endpoint breach detection, case management, monitoring, analysis, and more.
Unlike digital forensics books focused primarily on post-attack evidence gathering, this one offers complete coverage of tracking threats, ...
Deep Learning with TensorFlow, 2nd Edition
Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks.
This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow v1.7, combined with other open source Python libraries.
Throughout the book, you'll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way.
You'll come away with an in-depth knowledge of machine learning techniques and the ...
Java APIs, Extensions and Libraries, 2nd Edition
This book completes the Apress Java learning journey and is a comprehensive approach to learning Java APIs, extensions, and modules such as Java EE integration, mobile Java modules, JavaFX, and JDBC. In this book, you'll learn how to build user interfaces with Swing and JavaFX as well as how to write network programs with the new Java 9 and much more.
Java APIs, Extensions and Libraries is for Java programmers who are familiar with the fundamentals of the Java language and Java programming, who are now ready to call upon the power of extended Java functionality available from the huge array of Java APIs, extensions, and libraries. After reading and learning from this book you'll be ready to become a professional Java programmer.
Extend your Java skills beyond the fundamental object-oriented concepts and core language features; Apply Java Swing for building Java front ends; Get started with Java network programming; Connect to databases and access data from Java prog ...
Learn Cisco Network Administration in a Month of Lunches
Cisco's ultrareliable routers and switches are the backbone of millions of networks, but "set and forget" is not an acceptable attitude. Fortunately, you don't have to be an old-time administrator to set up and maintain a Cisco-based network. With a handful of techniques, a little practice, and this book, you can keep your system in top shape.
Learn Cisco Network Administration in a Month of Lunches is designed for occasional and full-time network administrators using Cisco hardware. In 22 bite-sized lessons, you'll learn practical techniques for setting up a Cisco network and making sure that it never fails. Real-world labs start with configuring your first switch and guide you through essential commands, protocols, dynamic routing tricks, and more. ...
Zero Trust Networks
Perimeter defenses guarding your network aren't as secure as you might think. Hosts behind the firewall have no defenses of their own, so when a host in the "trusted" zone is breached, access to your data center is not far behind. This practical book introduces you to the zero trust model, a method that treats all hosts as if they're internet-facing, and considers the entire network to be compromised and hostile.
Authors Evan Gilman and Doug Barth show you how zero trust lets you focus on building strong authentication, authorization, and encryption throughout, while providing compartmentalized access and better operational agility. You'll learn the architecture of a zero trust network including how to build one using currently available technology.
Understand how the zero trust model embeds security within the system's operation, rather than layering it on top; Examine the fundamental concepts at play in a zero trust network including network a ...
Network Security Through Data Analysis, 2nd Edition
Traditional intrusion detection and logfile analysis are no longer enough to protect today's complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You'll understand how your network is used, and what actions are necessary to harden and defend the systems within it.
In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics.
Use sensors to collect network service, host, and active domain data; Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect; Detect unusual phenomena through explorator ...
Attacking Network Protocols
Attacking Network Protocols is a deep dive into network protocol security from James Forshaw, one of the world's leading bug hunters. This comprehensive guide looks at networking from an attacker's perspective to help you discover, exploit, and ultimately protect vulnerabilities.
You'll start with a rundown of networking basics and protocol traffic capture before moving on to static and dynamic protocol analysis, common protocol structures, cryptography, and protocol security. Then you'll turn your focus to finding and exploiting vulnerabilities, with an overview of common bug classes, fuzzing, debugging, and exhaustion attacks.
Learn how to: Capture, manipulate, and replay packets; Develop tools to dissect traffic and reverse engineer code to understand the inner workings of a network protocol; Discover and exploit vulnerabilities such as memory corruptions, authentication bypasses, and denials of service; Use capture and analysis tools like Wireshar ...